Dremio

dremio.com
Analytics
Weekend Project

The Agentic Lakehouse for AI and Analytics

How to Replace Dremio

Overview

Dremio is an agentic lakehouse platform built for AI and analytics that unifies data across all sources with zero ETL. It provides AI agents with direct access to enterprise data through natural language, automatic performance optimization, and open lakehouse standards. The platform eliminates data silos and enables faster, more cost-effective data analytics and AI-driven insights.

Features

29 features across 10 categories

AI(5)

Agent ChoiceAI

Use any agent (integrated analyst agent or choose your own) to find and query data to deliver insights and visualizations

AI Semantic LayerAI

Gives AI the context required to find the right data and deliver accurate, trusted answers

AI-Powered Semantic SearchAI

Find data using plain language with AI-enabled semantic search capabilities

Autonomous PerformanceAI

Continuously analyzes query patterns and automatically creates Autonomous Reflections, applies Iceberg Clustering, and optimizes tables without human intervention

MCP ServerAI

Provides zero-integration connectivity to LLMs and AI frameworks with direct access to enterprise data

Also in: monday.com, Notion, Airtable

Data Integration(10)

Apache Arrow Support

Co-creator of Arrow, the leading columnar, in-memory representation and interchange

Apache Iceberg Support

Key contributor to Apache Iceberg, the leading open table format for lakehouses

Apache Polaris Integration

Co-created Polaris, the leading Iceberg catalog for lakehouse management

Apache Polaris REST Catalog

Built on Apache Iceberg REST Catalog specification enabling compatibility with Spark, Flink, and other tools

Data Fabric

Connect disparate data sources across hybrid and multi-cloud environments with a unified architecture that enables consistent governance, discovery, and access controls

Data Unification with Zero ETLAI

Federate queries across all data sources with AI functions to process unstructured data

Hybrid Lakehouse

Connect on-premises and cloud data lakes into a unified lakehouse architecture through advanced query federation and virtual data integration

Lake to Iceberg Lakehouse

Connect on-premises and cloud data lakes into a unified lakehouse architecture through advanced query federation and virtual data integration

Query Federation

Unified semantic layer and query federation that provides consistent definitions, metrics, and business logic across all data sources

Zero Data Migration

Query data where it lives using advanced federation without requiring data movement or migration

Data Management(1)

OPTIMIZE and VACUUM Commands

Optimize Iceberg tables from non-Dremio catalogs using OPTIMIZE and VACUUM commands

Also in: monday.com, Notion, Airtable

Developer Tools(2)

Custom Connectors

ARP (Advanced Relational Pushdown) framework allows building custom connectors with community-created options available

Python Support

Support for REST, ODBC, JDBC, and Apache Arrow Flight interfaces with Python libraries including dremio-simple-query and pyDremio

Also in: Jobber, Hugging Face, 1Password

Governance(1)

Open Catalog (Apache Polaris)

Fully managed and supported Polaris catalog with fine-grained and role-based access control for end-to-end governance

Also in: MuleSoft, Looker, Okta

Integrations(1)

BI Tool Integration

One-click integrations with Power BI, Tableau, and other BI platforms for faster dashboards and queries

Also in: ReadMe, Hugging Face, Setmore

Migration(1)

Warehouse to Lakehouse Migration

Get faster performance, more flexibility, and lower management overhead than traditional warehouses

Also in: Keeper, MongoDB Atlas, Bitwarden

Performance(6)

Arrow-Based Engine

Intelligent Query Engine based on Apache Arrow, with LLVM-based code generation for maximum CPU efficiency

Automatic Iceberg ClusteringAI

Automatically optimizes data layout on disk, without the downsides of traditional partitioning

Autonomous ReflectionsAI

Automatically pre-computes aggregations, joins, and other materializations to accelerate common query patterns

Columnar Cloud Cache (C3)AI

Automatically caches hot data on local SSDs, speeding up data access by reducing object storage reads

Iceberg ClusteringAI

Automatically organizes data for optimal performance without manual partition management

Query Optimization at RuntimeAI

Existing SQL queries are automatically optimized at runtime to take advantage of Reflections and intelligent caching

Also in: Jira Service Management, Hugging Face, WordPress.com

Platform Management(1)

Automatic Updates and ScalingAI

Fully managed platform with automatic updates, scaling, and optimization

Security(1)

Role-Based Access Control

Fine-grained and role-based access control for end-to-end governance

Pricing

Dremio Cloud Free Trial

Free - $400 credit for 30 days

Dremio Enterprise Free Trial

Free - 30 days

Dremio Cloud

Popular
$0.20 per DCU (Dremio Compute Unit)
  • Fully managed agentic lakehouse on AWS
  • Zero infrastructure overhead with automatic updates
  • Instant setup - start querying data in minutes
  • Automatic feature releases without manual upgrades
  • Auto scaling
  • AI Agent
  • AI Semantic Layer
  • Intelligent Query Engine
  • Open Catalog
  • Enterprise Ready Security & Compliance

Dremio Enterprise

Custom
  • Complete control and customization
  • Deploy anywhere with full flexibility
  • Self-managed security, compliance, and data policies
  • Flexible deployment - Cloud, Kubernetes, On-premises
  • Custom integration with existing enterprise infrastructure
  • Manual scaling
  • AI Agent
  • AI Semantic Layer
  • Intelligent Query Engine
  • Open Catalog
  • Self-managed infrastructure
  • Enterprise Ready Security & Compliance

Cost Calculator

Pricing data not available for Dremio. Check their website for current pricing.

Build vs Buy

Should you build a Dremio alternative or buy the subscription? Estimate based on 29 features.

Buy Dremio

Better Value
Monthly costContact Sales
3-year totalVaries
Time to deployDays

Build Your Own

Development cost$12,000
Maintenance$180/mo
3-year total$18,480
Dev time~1 months

Buying Dremio saves ~$18,480 over 3 years vs building.

Estimates based on 29 features and a BuildScore of 5/5. Actual costs vary.

Integrations

9 known integrations